Speaker:	Michael Farrell
Title:	Detection Algorithms for Hyperspectral Imagery
Date:	April 11, 2003
Time:	3:00 pm
Location:	GCATT Room 325
Abstract:	Hyperspectral imaging (HSI) is an electro-optical remote sensing technique with numerous military and civilian applications.  One popular military use of HSI is for target detection.  After an introduction to the key concepts of HSI and the sensing process, this talk will discuss various detection algorithms and build a general framework for target detection using HSI data.
Biography:	Michael Farrell received two undergraduate degrees from the College of Engineering at The University of Iowa and earned his Masters in ECE at Georgia Tech in 2002.  Before graduate school he worked in industry for Intel Corporation and Inventa Technologies.  At Iowa, he was a Richard Miller Engineering Scholar and won the Clifford Baumback Award for Technologial Entrepreneurship.  His current research is in remote sensing, specifically in detection and classification algorithms for hyperspectral imagery.
Slides:	sem11_04_11_2003_Michael_Farrell.pdf